[HTML][HTML] Comparison of solution-based exome capture methods for next generation sequencing

AM Sulonen, P Ellonen, H Almusa, M Lepistö, S Eldfors… - Genome biology, 2011 - Springer
AM Sulonen, P Ellonen, H Almusa, M Lepistö, S Eldfors, S Hannula, T Miettinen…
Genome biology, 2011Springer
Background Techniques enabling targeted re-sequencing of the protein coding sequences
of the human genome on next generation sequencing instruments are of great interest. We
conducted a systematic comparison of the solution-based exome capture kits provided by
Agilent and Roche NimbleGen. A control DNA sample was captured with all four capture
methods and prepared for Illumina GAII sequencing. Sequence data from additional
samples prepared with the same protocols were also used in the comparison. Results We …
Background
Techniques enabling targeted re-sequencing of the protein coding sequences of the human genome on next generation sequencing instruments are of great interest. We conducted a systematic comparison of the solution-based exome capture kits provided by Agilent and Roche NimbleGen. A control DNA sample was captured with all four capture methods and prepared for Illumina GAII sequencing. Sequence data from additional samples prepared with the same protocols were also used in the comparison.
Results
We developed a bioinformatics pipeline for quality control, short read alignment, variant identification and annotation of the sequence data. In our analysis, a larger percentage of the high quality reads from the NimbleGen captures than from the Agilent captures aligned to the capture target regions. High GC content of the target sequence was associated with poor capture success in all exome enrichment methods. Comparison of mean allele balances for heterozygous variants indicated a tendency to have more reference bases than variant bases in the heterozygous variant positions within the target regions in all methods. There was virtually no difference in the genotype concordance compared to genotypes derived from SNP arrays. A minimum of 11× coverage was required to make a heterozygote genotype call with 99% accuracy when compared to common SNPs on genome-wide association arrays.
Conclusions
Libraries captured with NimbleGen kits aligned more accurately to the target regions. The updated NimbleGen kit most efficiently covered the exome with a minimum coverage of 20×, yet none of the kits captured all the Consensus Coding Sequence annotated exons.
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